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Adaptive perturb observe MPPT algorithm for photovoltaic system

机译:光伏系统的自适应扰动观测MPPT算法

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Maximum power point tracking (MPPT) techniques are used in photovoltaic (PV) systems to extract maximum power from the PV module. There are number of techniques available in literature. Perturb and observe (P &O) method is widely used because of its low-cost and ease of implementation. The P&O method oscillates close to maximum power point (MPP), when atmospheric conditions are constant or slowly varying. However, when irradiance and temperature are changing rapidly, this method fails to track MPP with rapid speed. In order to consider rapidly varying atmospheric conditions an adaptive control algorithm is proposed, by measuring the short circuit current at different irradiance levels and temperatures. In this proposed method current perturbation is considered instead of voltage perturbation. The proposed method has faster dynamics and improved stability compared to the conventional P&O method. The effectiveness of proposed MPPT algorithm is verified using digital simulations.
机译:最大功率点跟踪(MPPT)技术用于光伏(PV)系统中,以从PV模块中提取最大功率。文献中有许多可用的技术。扰动和观察(P&O)方法由于其低成本和易于实现而被广泛使用。当大气条件恒定或缓慢变化时,P&O方法的振荡接近最大功率点(MPP)。但是,当辐照度和温度快速变化时,此方法无法快速跟踪MPP。为了考虑迅速变化的大气条件,提出了一种自适应控制算法,该算法通过测量不同辐照度和温度下的短路电流来实现。在该提出的方法中,考虑电流扰动而不是电压扰动。与传统的P&O方法相比,该方法具有更快的动力学特性和更高的稳定性。使用数字仿真验证了所提出的MPPT算法的有效性。

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